risk

To enforce automated risk controls for trading bots, initialize a risk skill in your runtime and issue commands to apply limits, VaR checks, and circuit breakers that prevent overexposure and halt risky trades.

VaR, or Value at Risk, is a statistical measure used in portfolio stress testing to calculate potential loss exposure. It works by computing risk metrics through a risk engine to detect volatility regimes and cap excessive exposure.

Yes, you can apply circuit breakers and kill switches to multi-asset strategies. The risk engine enforces exposure limits across real-time portfolios, automatically halting trades when volatility thresholds are breached.

You monitor real-time volatility and risk limits across portfolios by integrating a unified risk engine that generates real-time risk dashboards, detects volatility regimes, and centralizes compliance oversight.

The best way to prevent overexposure in automated trading is to centralize controls with a risk engine that runs continuous VaR checks, applies stress tests, and manages circuit breakers to cap exposure automatically.

Yes, you need a risk engine integration to run stress tests and calculate CVaR. It provides the unified computational framework required to detect volatility regimes, compute risk metrics, and enforce trading limits.